Luisada 1991

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.7226  0.004  0.224  0.6910  0.572  0.63
Anderszewski 2003   27  0.6264  0.0029  0.0933  0.2836  0.3029  0.29
Ashkenazy 1981   25  0.6231  0.0021  0.0728  0.3225  0.3127  0.31
Bacha 2000   64  0.5042  0.0044  0.0544  0.1319  0.3638  0.22
Badura 1965   52  0.5553  0.0064  0.0847  0.0842  0.1951  0.12
Barbosa 1983   23  0.6320  0.0126  0.0627  0.325  0.6413  0.45
Biret 1990   41  0.5813  0.0135  0.0934  0.2239  0.1942  0.20
Blet 2003   22  0.6330  0.0025  0.0619  0.373  0.6410  0.49
Block 1995   60  0.5278  0.0058  0.0557  0.0533  0.2155  0.10
Blumental 1952   21  0.637  0.027  0.0912  0.4814  0.4015  0.44
Boshniakovich 1969   34  0.6018  0.0136  0.0732  0.2936  0.2731  0.28
Brailowsky 1960   26  0.6219  0.0128  0.0723  0.344  0.779  0.51
Bunin 1987   75  0.4152  0.0078  0.0386  0.0348  0.0582  0.04
Bunin 1987b   81  0.4076  0.0080  0.0381  0.0352  0.0578  0.04
Chiu 1999   46  0.5846  0.0047  0.0656  0.0627  0.2648  0.12
Cohen 1997   69  0.4659  0.0072  0.0374  0.0325  0.2857  0.09
Cortot 1951   77  0.4139  0.0073  0.0378  0.0370  0.0488  0.03
Csalog 1996   80  0.4057  0.0065  0.0562  0.0546  0.0763  0.06
Czerny 1949   55  0.5487  0.0062  0.0651  0.0651  0.0664  0.06
Czerny 1990   39  0.5984  0.0048  0.0559  0.0549  0.0765  0.06
Duchoud 2007   84  0.3848  0.0082  0.0383  0.0385  0.0385  0.03
Ezaki 2006   4  0.6922  0.0012  0.1316  0.4520  0.4812  0.46
Falvay 1989   49  0.5629  0.0055  0.0564  0.0535  0.2950  0.12
Farrell 1958   67  0.4888  0.0071  0.0373  0.0368  0.0576  0.04
Ferenczy 1958   47  0.584  0.0320  0.0637  0.1811  0.5226  0.31
Fliere 1977   2  0.726  0.032  0.252  0.7617  0.473  0.60
Fou 1978   15  0.6533  0.0034  0.0830  0.3034  0.2432  0.27
Francois 1956   68  0.4765  0.0069  0.0466  0.0456  0.0583  0.04
Friedman 1923   30  0.6111  0.0130  0.1026  0.3318  0.4818  0.40
Friedman 1923b   29  0.6135  0.0027  0.0720  0.3718  0.4916  0.43
Friedman 1930   44  0.5858  0.0041  0.0640  0.1622  0.4633  0.27
Garcia 2007   70  0.4689  0.0076  0.0379  0.0369  0.0486  0.03
Garcia 2007b   61  0.5260  0.0061  0.0654  0.0647  0.0572  0.05
Gierzod 1998   5  0.682  0.065  0.226  0.6426  0.466  0.54
Gornostaeva 1994   36  0.5940  0.0023  0.0624  0.3311  0.5717  0.43
Groot 1988   62  0.5237  0.0060  0.0655  0.0643  0.1059  0.08
Harasiewicz 1955   19  0.6455  0.0037  0.0836  0.2049  0.0556  0.10
Hatto 1993   12  0.6690  0.009  0.1014  0.4732  0.2522  0.34
Hatto 1997   10  0.6685  0.0010  0.0915  0.4731  0.2324  0.33
Horowitz 1949   56  0.5427  0.0057  0.0652  0.068  0.5444  0.18
Indjic 1988   8  0.6670  0.008  0.0911  0.4831  0.2621  0.35
Kapell 1951   59  0.5382  0.0059  0.0563  0.0568  0.0477  0.04
Kissin 1993   13  0.6523  0.0016  0.0817  0.4237  0.3619  0.39
Kushner 1989   24  0.6324  0.0031  0.0625  0.3338  0.2330  0.28
Luisada 1991   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   38  0.5950  0.0052  0.0469  0.0449  0.0770  0.05
Malcuzynski 1961   79  0.4079  0.0081  0.0375  0.0383  0.0384  0.03
Magaloff 1978   51  0.5534  0.0051  0.0561  0.0527  0.3049  0.12
Magin 1975   9  0.6621  0.0011  0.129  0.5225  0.3814  0.44
Michalowski 1933   73  0.4225  0.0074  0.0382  0.0353  0.0768  0.05
Milkina 1970   7  0.679  0.016  0.263  0.7017  0.524  0.60
Mohovich 1999   16  0.6414  0.0118  0.0910  0.5117  0.558  0.53
Moravec 1969   71  0.4568  0.0079  0.0385  0.0354  0.0573  0.04
Morozova 2008   14  0.653  0.0314  0.0922  0.3425  0.3920  0.36
Neighaus 1950   57  0.5383  0.0063  0.0946  0.0948  0.0661  0.07
Niedzielski 1931   58  0.5361  0.0045  0.0645  0.1122  0.4039  0.21
Ohlsson 1999   45  0.5810  0.0122  0.0629  0.3130  0.3523  0.33
Osinska 1989   28  0.6266  0.0024  0.0618  0.4040  0.1636  0.25
Pachmann 1927   76  0.4177  0.0088  0.0470  0.0445  0.1360  0.07
Paderewski 1930   85  0.3881  0.0077  0.0376  0.0348  0.0579  0.04
Perlemuter 1992   48  0.5767  0.0054  0.0650  0.0623  0.3746  0.15
Pierdomenico 2008   86  0.3775  0.0083  0.0380  0.0367  0.0574  0.04
Poblocka 1999   37  0.5917  0.0138  0.0742  0.1639  0.2143  0.18
Rabcewiczowa 1932   65  0.4971  0.0056  0.0558  0.0567  0.0475  0.04
Rachmaninoff 1923   40  0.5849  0.0050  0.0848  0.0851  0.0562  0.06
Rangell 2001   88  0.3672  0.0075  0.0377  0.0375  0.0487  0.03
Richter 1976   63  0.5091  0.0067  0.0468  0.0449  0.0667  0.05
Rosen 1989   6  0.688  0.023  0.195  0.698  0.601  0.64
Rosenthal 1930   78  0.4062  0.0085  0.0288  0.0274  0.0389  0.02
Rosenthal 1931   83  0.3928  0.0086  0.0384  0.0352  0.0680  0.04
Rosenthal 1931b   87  0.3745  0.0087  0.0472  0.0448  0.0671  0.05
Rosenthal 1931c   74  0.4273  0.0070  0.0471  0.0432  0.2954  0.11
Rosenthal 1931d   82  0.4036  0.0084  0.0287  0.0242  0.1866  0.06
Rossi 2007   66  0.4980  0.0068  0.0565  0.0535  0.2652  0.11
Rubinstein 1939   35  0.5941  0.0049  0.0749  0.0723  0.3745  0.16
Rubinstein 1952   54  0.5416  0.0132  0.0735  0.2031  0.3435  0.26
Rubinstein 1966   31  0.6174  0.0040  0.0543  0.1435  0.2841  0.20
Schilhawsky 1960   43  0.5843  0.0053  0.0560  0.0557  0.0569  0.05
Shebanova 2002   32  0.6112  0.0117  0.0813  0.4738  0.2325  0.33
Smith 1975   17  0.645  0.0313  0.108  0.546  0.565  0.55
Sokolov 2002   53  0.5538  0.0039  0.0738  0.1719  0.4134  0.26
Sztompka 1959   33  0.6056  0.0042  0.0641  0.1650  0.0753  0.11
Tomsic 1995   72  0.4369  0.0066  0.0467  0.0440  0.1558  0.08
Uninsky 1932   42  0.5854  0.0046  0.0653  0.0633  0.3547  0.14
Uninsky 1971   50  0.5615  0.0143  0.0639  0.1736  0.2440  0.20
Wasowski 1980   11  0.6647  0.0015  0.117  0.5615  0.507  0.53
Zak 1937   20  0.6432  0.0033  0.0631  0.2937  0.1837  0.23
Zak 1951   18  0.6463  0.0019  0.0721  0.3534  0.2628  0.30
Average   1  0.781  0.621  0.611  0.8535  0.2811  0.49
Random 1   90  -0.1186  0.0091  0.0191  0.0186  0.0291  0.01
Random 2   89  -0.0251  0.0089  0.0289  0.0241  0.1081  0.04
Random 3   91  -0.1544  0.0090  0.0190  0.0161  0.0490  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).